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Fast calculation using parallel processing and pipeline processing in power system analysis
Author(s) -
Oda Yoshifumi,
Oyama Tsutomu
Publication year - 1996
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391160508
Subject(s) - pipeline (software) , block matrix , computer science , parallel processing , matrix decomposition , parallel computing , block (permutation group theory) , matrix (chemical analysis) , diagonal , sparse matrix , transient (computer programming) , boundary (topology) , power (physics) , computational science , mathematics , geometry , mathematical analysis , eigenvalues and eigenvectors , physics , materials science , quantum mechanics , composite material , gaussian , programming language , operating system
This paper presents an application of parallel processing and pipeline processing to power system analysis. The system matrix is transformed to a bordered block diagonal form (BBDF) matrix for effective utilization of the processors. After LU factorization, subnetworks organize sparse matrices and the boundary network organizes a full matrix. First, a parallel processing technique is used to calculate subnetworks. Then, as pipeline processing is applied, inverse matrix of the boundary network is multiplied. The proposed method is made operational on a parallel computing system including a pipeline processor. A consideration on the transient stability analysis using the proposed method also is presented at the end of this paper.